CN110888907A - Item point identification method based on LKJ running data - Google Patents
Item point identification method based on LKJ running data Download PDFInfo
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- 238000001914 filtration Methods 0.000 claims description 3
- 230000003137 locomotive effect Effects 0.000 abstract description 13
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06—COMPUTING; CALCULATING OR COUNTING
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Abstract
The invention discloses an item point identification method based on LKJ running data, which comprises the following steps of: acquiring LKJ running record data and extracting key information of item points in the data; extracting and recording LKJ data related to the identification item points; analyzing the recorded LKJ data within a period of time to obtain the change trend of the LKJ data, judging whether an item point appears according to the change trend and determining the item point; searching an item point corresponding to the current kilometer post in a database by adopting a data search algorithm; the determined item points are compared with the inquired item points so as to correct or insert the record of the item points in the database, and the item points in the running process of the locomotive are updated in real time by the method, so that the safety of railway transportation is ensured.
Description
Technical Field
The invention relates to the technical field of data identification items, in particular to an item identification method based on LKJ running data.
Background
In the field of railway monitoring, the running distance of a locomotive can be changed at intervals, such as adding a stop to a running route, moving a parking position forwards or backwards, exceeding a preset time for parking, adding a signal, and the like. And the updated item points are recorded and tracked in real time by adopting intelligent software, so that the driving danger can be reduced and the driving safety can be improved, therefore, the LKJ operation data needs to be identified and recorded in real time in the field of railway management, and the safe driving of the locomotive is ensured. If the management software system of the locomotive cannot update the changed points in real time, the points are identified incorrectly, and if the crew is not attentively observed, a large accident may occur, resulting in irreparable losses.
Disclosure of Invention
According to the problems in the prior art, the invention discloses an item point identification method based on LKJ running data, which specifically comprises the following steps:
acquiring LKJ running record data and extracting key information of item points in the data;
extracting and recording LKJ data related to the identification item points;
analyzing the recorded LKJ data within a period of time to obtain the change trend of the LKJ data, judging whether an item point appears according to the change trend and determining the item point;
searching an item point corresponding to the current kilometer post in a database by adopting a data search algorithm;
and comparing the determined item point with the inquired item point so as to correct or insert the record of the item point in the database.
Further, after LKJ running record data are obtained, whether the traffic route number changes or not is judged, and if the traffic route number changes, the item point of the traffic route number is extracted from the database and recorded.
Further, when the LKJ data related to the identification item point is extracted:
-parsing LKJ data information relating to recognition entry points: the number of the vehicle, the speed, the time, the number of the annunciator, the section number and the kilometer sign information;
judging whether the locally stored LKJ recorded information array exceeds a set threshold value or not, if so, replacing the first recorded information of the data information array by using a first-in first-out replacement algorithm, and if not, storing the latest LKJ data information into the recorded information array;
and forming the analyzed LKJ data information into a data standard format and storing the data standard format in a database.
Further, judging whether an item point appears and determining the item point according to the change trend:
the change trend of the LKJ data information is judged by comparing with LKJ data in a data information array stored locally;
judging whether an item point initial node appears according to the change value of each LKJ data until the item point initial data appears;
inquiring current item point data from a database according to the section number, the semaphore number, the traffic route number and the kilometer post, setting an item point starting mark if a specific record of the current item point is inquired, correcting the item point information in the database if the inquired item point record is different from the item point judged by the current actual LKJ information data, and inserting the currently judged item point information into the database if the current item point record is not inquired from the database;
judging an end node of the item point according to the change value of the current LKJ data information, sorting the end node information of the item point and inserting or correcting the related record of the current item point of the database;
and performing data query from the database by taking the information of the starting node and the ending node of the current item point as query conditions.
Further, when the data search algorithm is adopted to inquire the item points corresponding to the current kilometer posts in the database:
and designing a filtering operator, an aggregation operator and a grouping operator, wherein the deduplication operation adopts a hash table as a cache database, and the database is inquired about the information required to be recorded by the current item point according to the designed operator and by combining a data algorithm.
Preferably, the following steps are specifically adopted when the determined item point is compared with the queried item point so as to correct or insert the record of the item point in the database:
SP1, acquiring a periodic LKJ record set, and calculating the speed change trend, the pipe pressure change trend and the kilometer standard change condition of the item;
SP 2: acquiring the change conditions of the locomotive state, the locomotive signal, the type of the signal machine, the advancing direction, the locomotive working condition, the section number and the station number at the stage;
SP 3: judging the item point again according to the data obtained from SP1 and SP2, and judging the accurate item point;
SP 4: and extracting the starting record and the ending record of the item corresponding to the item in the database, comparing the newly judged starting record and the newly judged ending record of the item, revising the difference information and storing the revised difference information into the database if an error occurs, and specially marking the newly added item and the change of the different item in the database so as to facilitate the convenience of checking by a crew member and a manager, timely correcting the problem and ensuring that the item information of the locomotive route is accurate.
Due to the adoption of the technical scheme, the method for identifying the item based on the LKJ running data provided by the invention can be used for updating the item in the running process of the locomotive in real time, so that the safety of railway transportation is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a flow chart of the process of determining an endpoint in the present invention.
Detailed Description
In order to make the technical solutions and advantages of the present invention clearer, the following describes the technical solutions in the embodiments of the present invention clearly and completely with reference to the drawings in the embodiments of the present invention:
as shown in fig. 1 and 2, an item identification method based on LKJ operation data specifically includes the following steps:
acquiring LKJ running record data and extracting key information of item points in the data;
extracting and recording LKJ data related to the identification item points;
analyzing the recorded LKJ data within a period of time to obtain the change trend of the LKJ data, judging whether an item point appears according to the change trend and determining the item point;
searching an item point corresponding to the current kilometer post in a database by adopting a data search algorithm;
and comparing the determined item point with the inquired item point so as to correct or insert the record of the item point in the database.
Further, after LKJ running record data are obtained, whether the traffic route number changes or not is judged, and if the traffic route number changes, the item point of the traffic route number is extracted from the database and recorded.
Further, when the LKJ data related to the identification item point is extracted:
-parsing LKJ data information relating to recognition entry points: information such as a car number, a train number, a speed, time, a signal machine number, a section number, a kilometer post and the like;
judging whether the locally stored LKJ recorded information array exceeds a set threshold value or not, if so, replacing the first recorded information of the data information array by using a first-in first-out replacement algorithm, and if not, storing the latest LKJ data information into the recorded information array;
and forming the analyzed LKJ data information into a data standard format and storing the data standard format in a database.
Further, judging whether an item point appears and determining the item point according to the change trend:
the change trend of the LKJ data information is judged by comparing with LKJ data in a data information array stored locally;
judging whether an item point initial node appears according to the change value of each LKJ data, if no initial stage appears, continuously and repeatedly judging according to new LKJ data until the item point initial data appears;
inquiring current item point data from a database according to the section number, the semaphore number, the traffic route number and the kilometer post, if a specific record of the current item point is inquired, setting an item point starting mark, if the inquired item point record is different from the item point judged by the current actual LKJ information data, correcting the item point information in the database, and if the current item point record is not inquired from the database, inserting the currently judged item point information into the database;
judging an end node of the item point according to the change value of the current LKJ data information, and if an item point end stage occurs, forming standard data by the end node information of the item point and inserting the standard data into a database or correcting the record of the current item point in the database;
and performing data query from the database by taking the information of the starting node and the ending node of the current item point as query conditions.
Further, when the data search algorithm is adopted to inquire the item points corresponding to the current kilometer posts in the database:
and the intermediate data is too large, so that the query speed is too slow, a filtering operator, an aggregation operator and a grouping operator are designed, wherein the deduplication operation adopts a hash table as a cache database, and the database is quickly queried to obtain the information required to be recorded by the current item point according to the designed operator and a data algorithm.
Preferably, the following steps are specifically adopted when the determined item point is compared with the queried item point so as to correct or insert the record of the item point in the database:
SP1, acquiring a periodic LKJ record set, and calculating the speed change trend, the pipe pressure change trend and the kilometer standard change condition of the item;
SP 2: acquiring the change conditions of the locomotive state, the locomotive signal, the type of the signal machine, the advancing direction, the locomotive working condition, the section number and the station number at the stage;
SP 3: judging the item point again according to the item point data obtained from SP1 and SP2, comparing LKJ data information at the stage, and judging the accurate item point by using the change value of each information;
SP 4: and extracting the starting record and the ending record of the item corresponding to the item in the database, comparing the newly judged starting record and the newly judged ending record of the item, revising the difference information and storing the revised difference information into the database if an error occurs, and specially marking the newly added item and the change of the different item in the database so as to facilitate the convenience of checking by a crew member and a manager, timely correcting the problem and ensuring that the item information of the locomotive route is accurate.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (5)
1. An item point identification method based on LKJ running data is characterized by comprising the following steps:
acquiring LKJ running record data and extracting key information of item points in the data;
extracting and recording LKJ data related to the identification item points;
analyzing the recorded LKJ data within a period of time to obtain the change trend of the LKJ data, judging whether an item point appears according to the change trend and determining the item point;
searching an item point corresponding to the current kilometer post in a database by adopting a data search algorithm;
and comparing the determined item point with the inquired item point so as to correct or insert the record of the item point in the database.
2. The method of claim 1 for entry point identification based on LKJ operational data, further characterized by: and acquiring LKJ running record data, judging whether the traffic route number changes, and if so, extracting and recording the item point of the traffic route number from the database.
3. The method of claim 1 for entry point identification based on LKJ operational data, further characterized by: extracting LKJ data related to the recognition item points:
-parsing LKJ data information relating to recognition entry points: the number of the vehicle, the speed, the time, the number of the annunciator, the section number and the kilometer sign information;
judging whether the locally stored LKJ recorded information array exceeds a set threshold value or not, if so, replacing the first recorded information of the data information array by using a first-in first-out replacement algorithm, and if not, storing the latest LKJ data information into the recorded information array;
and forming the analyzed LKJ data information into a data standard format and storing the data standard format in a database.
4. The method of claim 1 for entry point identification based on LKJ operational data, further characterized by: judging whether an item point appears and determining the item point according to the change trend:
the change trend of the LKJ data information is judged by comparing with LKJ data in a data information array stored locally;
judging whether an item point initial node appears according to the change value of each LKJ data until the item point initial data appears;
inquiring current item point data from a database according to the section number, the semaphore number, the traffic route number and the kilometer post, setting an item point starting mark if a specific record of the current item point is inquired, correcting the item point information in the database if the inquired item point record is different from the item point judged by the current actual LKJ information data, and inserting the currently judged item point information into the database if the current item point record is not inquired from the database;
judging an end node of the item point according to the change value of the current LKJ data information, sorting the end node information of the item point and inserting or correcting the related record of the current item point of the database;
and performing data query from the database by taking the information of the starting node and the ending node of the current item point as query conditions.
5. The method of claim 1 for entry point identification based on LKJ operational data, further characterized by: when the data search algorithm is adopted to inquire the item points corresponding to the current kilometer posts in the database: and designing a filtering operator, an aggregation operator and a grouping operator, wherein the deduplication operation adopts a hash table as a cache database, and the database is inquired about the information required to be recorded by the current item point according to the designed operator and by combining a data algorithm.
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Cited By (1)
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| CN112052778A (en) * | 2020-09-01 | 2020-12-08 | 腾讯科技（深圳）有限公司 | Traffic sign identification method and related device |
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Application publication date: 20200317 |